Data Scientist: Turn Data Into Impactful Insights

Voi Technology AB; Stockholms kommun; Presencial; SEK 700.000 - 900.000; Tempo integral

Resumo da vaga

VOI Technology AB is seeking a Data Scientist/Data Analyst to own a business area from analytics and data science perspective, helping teams make decisions that create value for riders, cities and the business.

You will collaborate with product managers, engineers and other data professionals to turn complex data into clear recommendations, build and maintain data models, KPIs and experiments, and translate findings into actionable insights for technical and non-technical stakeholders.

Qualificações

• A few years of experience as a Data Scientist, Data Analyst or similar in an autonomous and agile environment.
• Strong SQL and data modelling skills.
• Experience with Python, statistical modelling and experimentation.
• Experience designing, analysing and communicating A/B tests or similar impact measurement methods.
• Ability to explain insights and recommendations to different audiences.
• Experience owning and leading projects in the data space.
• University degree in a relevant field or equivalent practical experience.

Responsabilidades

• Lead data projects independently from problem framing to insights, recommendations and follow-up.
• Develop and maintain data models, KPIs and AI systems reflecting Voi’s products and processes.
• Design and analyse A/B tests and other approaches to measure impact of decisions, product changes or market events.
• Translate findings into clear, actionable insights for technical and non-technical stakeholders.
• Collaborate actively with the team and contribute to high-performing team dynamics.

Conhecimentos

SQL

Python

Statistical modelling

A/B testing

Data modelling

Communication

Project ownership

Formação

University degree in Mathematics/Statistics/Science/Engineering/Business

Ferramentas

dbt

Semantic layer

Descrição da vaga

VOI Technology AB is seeking a Data Scientist/Data Analyst to own a business area from analytics and data science perspective, helping teams make decisions that create value for riders, cities and the business.

You will collaborate with product managers, engineers and other data professionals to turn complex data into clear recommendations, build and maintain data models, KPIs and experiments, and translate findings into actionable insights for technical and non-technical stakeholders.